Senior Machine Learning Engineer | Production AI | Edge AI | LLMs Location: Bristol (Hybrid – 3 days/week onsite) Security Clearance: Must be eligible for UK SC Clearance We're partnering with one of the UK's fastest-growing Defence and GovTech companies, to help grow their Machine Learning team. It's an opportunity to build AI systems that solve real-world problems and are deployed into operational environments where reliability, performance and speed matter. You'll work alongside software, hardware and systems engineers to take AI solutions from early concepts through to production deployment, building intelligent systems that make a genuine impact. Designing, building and deploying production Machine Learning solutions from concept to release Owning the full ML lifecycle including data engineering, model development, evaluation, deployment and monitoring Developing modern AI systems using LLMs, RAG and agentic workflows where appropriate Deploying AI onto edge and embedded platforms alongside cloud infrastructure Building scalable MLOps pipelines including CI/CD, model versioning, automated evaluation and monitoring Commercial experience delivering Machine Learning solutions into production Strong Python software engineering skills Experience with modern ML frameworks such as PyTorch or TensorFlow Experience building production LLM, RAG or agentic AI applications Strong understanding of MLOps, CI/CD and cloud deployment Experience working across the full ML lifecycle rather than pure research Edge AI or embedded ML deployment (Jetson, Raspberry Pi, ARM or similar) Computer Vision Docker, Kubernetes and AWS Work on AI systems that solve genuine operational challenges End-to-end ownership of products from R&D through to deployment Modern engineering culture with strong collaboration across software, hardware and systems teams Hybrid working (3 days/week in Bristol) If you're an engineer who enjoys building production AI, solving complex problems and seeing your work deployed into the real world, I'd love to tell you more.
